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TA-WHI: Text Analysis of Web-Based Health Information
The healthcare data available on social media has exploded in recent years. The cures and treatments suggested by non-medical experts can lead to more damage than expected. Assuring the credibility of the information conveyed is an enormous challenge. ...
Artificial Intelligence Techniques to improve cognitive traits of Down Syndrome Individuals: An Analysis
Improving the learning process requires to improve the cognitive traits of individuals with low mental skills. The artificial intelligence (AI) has been used to support the different individuals with impairments. People with Down syndrome fall in ...
Knowledge Discovery of Hospital Medical Technology Based on Partial Ordered Structure Diagrams
- Andrew W. H. Ip,
- Dingju Zhu,
- Jianbin Tan,
- Guangbo Luo,
- Haoxiang Gu,
- Zhanhao Ye,
- Renfeng Deng,
- Keyi He,
- KaiLeung Yung
So far, no research has used the partial order algorithm for the mining of hospital medical technology. This paper proposed a novel knowledge discovery method of hospital medical technology based on partial ordered structure diagrams, constructed ...
Artificial Intelligence in Tongue Image Recognition
Tongue image recognition is a traditional Chinese medicine diagnosis method, which uses the shape, color, and texture of the tongue to judge the health of the human body. With the rapid development of artificial intelligence technology, the application ...
Machine Learning for Accurate Software Development Cost Estimation in Economically and Technically Limited Environments
- Amjad Aldweesh,
- Mohammad Alauthman,
- Ahmad al-Qerem,
- Someah Alangari,
- Ali Mohd Ali,
- Ahmad Nabo,
- Issam Jebreen,
- Brij B. Gupta,
- Ammar Almomani
Cost estimation for software development is crucial for project planning and management. Several regression models have been developed to predict software development costs, using historical datasets of previous projects. Accurate cost estimation in ...
A Smart Helmet Framework Based on Visual-Inertial SLAM and Multi-Sensor Fusion to Improve Situational Awareness and Reduce Hazards in Mountaineering
Sensitivity to surrounding circumstances is essential for the safety of mountain scrambling. In this paper, the authors present a smart helmet prototype equipped with visual SLAM (simultaneous localization and mapping) and barometer multi-sensor fusion (...
A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems
Deep learning (DL) can provide critical infrastructure operators with valuable insights and predictive capabilities to help them make more informed decisions, improving system's robustness. However, training DL models requires large amounts of data, ...
Development of Enhanced Chimp Optimization Algorithm (OFCOA) in Cognitive Radio Networks for Energy Management and Resource Allocation
- Kwok Tai Chui,
- Dilip Kumar Jang Bahadur Saini,
- Anupama Mishra,
- Dhirendra Siddharth,
- Pooja Joshi,
- Ritika Bansal,
- Shavi Bansal
Transmit time and power optimisation increase secondary network energy efficiency (EE). The optimum resource allocation strategy in cognitive radio networks is the enhanced chimp optimisation algorithm (OFCOA) since the EE maximising problem is a ...